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Overview
Generative artificial intelligence (AI) is an emerging technology that has the potential to disrupt how we create content – from writing reports, creating art, writing poetry, augmenting workflows across a range of use cases and industries and answering complex questions, all without human-generated insights or input. With this potential comes a host of legal questions and considerations. Generative AI creates this content by training on large data sets, raising questions about how this data, including sensitive data, is first obtained and then processed, and raising concerns over data scraping, manipulation, retention, accuracy or falsification. There are also questions around what intellectual property rights may cover that input data, and the content that is generated by the AI. On the Responsible AI side, there are a number of questions around explainability of insights, transparency, and accountability. Finally, given this technology’s potential to expand and push boundaries, ensuring that these tools are developed and managed ethically is critical. This session addresses:
- Level setting: What is Generative AI? – 5 minutes
- Prioritizing data privacy – 10 minutes
- IP considerations – 13 minutes
- The need for responsible AI principles (explainability, transparency, accountability) – 17 minutes
- Ethical implications (e.g., data management and related considerations) – 15 minute
Faculty:
Ami Bhatt
McKinsey & Company, Inc.
Ilona Logvinova
McKinsey & Company, Inc.
Agnieszka Mencel
McKinsey & Company, Inc.
Adaya Esteban Ruiz
McKinsey & Company, Inc.
Naomi Sosner
McKinsey & Company, Inc.